Software Alternatives, Accelerators & Startups

Gephi VS GraphPad Prism

Compare Gephi VS GraphPad Prism and see what are their differences

Gephi logo Gephi

Gephi is an open-source software for visualizing and analyzing large networks graphs.

GraphPad Prism logo GraphPad Prism

Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.
  • Gephi Landing page
    Landing page //
    2022-01-18
  • GraphPad Prism Landing page
    Landing page //
    2023-03-24

Gephi videos

Basics of Scientific Literature Analysis, Part 4: Network analysis/visualization with Gephi

More videos:

  • Tutorial - Gephi Tutorial - How to use Gephi for Network Analysis
  • Tutorial - Gephi Tutorial on Network Visualization and Analysis

GraphPad Prism videos

GraphPad Prism Tutorial 1 - Introducing Table Types

More videos:

  • Tutorial - ELISA Tutorial 6: How to Analyze ELISA Data with GraphPad Prism

Category Popularity

0-100% (relative to Gephi and GraphPad Prism)
Diagrams
100 100%
0% 0
Technical Computing
0 0%
100% 100
Flowcharts
100 100%
0% 0
Business & Commerce
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Gephi and GraphPad Prism

Gephi Reviews

We have no reviews of Gephi yet.
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GraphPad Prism Reviews

25 Best Statistical Analysis Software
GraphPad Prism is a powerful statistical software package specifically tailored for scientific research purposes. This is an excellent choice for those seeking to perform statistical analysis, nonlinear regression, graphing, and data visualization with ease.

Social recommendations and mentions

Based on our record, Gephi seems to be more popular. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Gephi mentions (32)

  • 🌌 Dataviz of the architecture of a speech w/ Nocodefunctions & Gephi(sto)
    Load gexf file into Gephi and produce some dataviz by ourselves. - Source: dev.to / 8 days ago
  • The Hunt for the Missing Data Type
    The following are not exactly what you have asked for. https://gephi.org/ This implements lots of graph visualization algorithms. https://strlen.com/treesheets/ Excel for tree data. - Source: Hacker News / 3 months ago
  • 🇺🇳 Discover a country UN SDGs concerns w/ Open Metadata on Neo4J
    🧑‍🎨 Enjoy some movie data art experience with Gephi and Runway. - Source: dev.to / 8 months ago
  • piece of software to find /crawl information about yourself?
    Maybe try exporting your data from spiderfoot and use a graph tool like Gephi to import your data to and have it generate a graph for you. Source: about 1 year ago
  • Countries with the most military conflicts according to Wikipedia (List of wars) [OC]
    Tool: custom python scripts and Gephi. Source: over 1 year ago
View more

GraphPad Prism mentions (0)

We have not tracked any mentions of GraphPad Prism yet. Tracking of GraphPad Prism recommendations started around Mar 2021.

What are some alternatives?

When comparing Gephi and GraphPad Prism, you can also consider the following products

yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

KeyLines - The JavaScript toolkit for graph visualization

Stata - Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.

Graphviz - Graphviz is open source graph visualization software. It has several main graph layout programs.

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.